Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 211 - 220 of 610
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Massachusetts Adolescent Outreach Program for Youths in Intensive Foster Care (Outreach) on youths’ education, employment, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Transitional Living program on education, earnings, and recidivism outcomes. The authors used a randomized controlled trial and estimated…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of STEP Forward on employment, earnings, and education outcomes. The authors used a randomized controlled trial to estimate impacts of enrollment in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) adult program’s training services on the employment and earnings of low-income adults. The authors investigated…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) dislocated worker program’s training services on the employment and earnings of dislocated workers. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Growing America Through Entrepreneurship (Project GATE) demonstration project, which offered entrepreneurship training and business counseling…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Job Training Partnership Act (JTPA) on earnings and employment for disadvantaged adults. The authors conducted a randomized controlled trial.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of California’s minimum staffing regulations for hospital nurses on wages and employment. The author used a non…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of earnings disregards—the amount of earned income that is not counted when calculating whether someone is eligible for public benefits—for welfare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the New York City Business Solutions Customized Training program on earnings. The authors used administrative data on training and payroll to…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.